todo: incorporate distance in the image

[SergeKrier]

No description provided.

[raresct]

As per Marteen's email, we should transform the mass to mass to luminosity ratio, and luminosity = 4 * pi * d^2 * flux. Then we should remove distance from the features.

[SergeKrier]

in initial implementation, we totally missed the fact that original image size :

1. varies -> need to image size as feature
2. size is usually smaller than 224x224 (for vgg/resnet) , thus need upscaling -> use cv2 linear or cubic interpolation

[raresct]

Currently we use:

• flux as the sum of the image after imagecleanup2 step.
• for evaluation, the error is defined as:

df['lin_mass'] = np.power(10, df.logMstar)
df['lin_err'] = df.lin_mass * np.log(10) * df.err_logMstar
err_lin_to_L = df.lin_err.values[:N]/(df.LtoFlux[:N]*Xflux)

Current gold solution is using linear interpolation, I haven't tried cubic yet.